
Motivated AWS professional proficient in core AWS services, test automation, and infrastructure as code. Dedicated to delivering high-quality solutions, exceeding expectations, and embracing innovation. Strong problem-solving skills and adept at collaboration in fast-paced environments.
Credit Card Fraud Detection:
Developed a machine learning model to detect fraudulent credit card transactions. Employed data preprocessing, feature engineering, and model training using Python. Deployed the solution on AWS, utilizing EC2 for computation and S3 for data storage. Conducted thorough testing to validate model performance and ensure reliability in production.
Capstone: Request for Proposal: In the RFP assignment it requested an update for the business's data management system, focusing on security, usability, and cost-effectiveness, ensuring service excellence and meeting business demands.
Project Proposal: Managed a group of students in the team to improve file storage, security, and communication through Microsoft Teams, Azure Active Directory setup, and file migration to SharePoint.